Artificial Intelligence Engineer

This is a remote position.

Job Summary:

We are seeking a highly skilled Artificial Intelligence Engineer with 5 to 8 years of experience to join our innovative team. The ideal candidate will be responsible for designing, developing, and deploying AI and machine learning models to solve complex business challenges. This role requires expertise in deep learning, natural language processing (NLP), computer vision, and AI-driven automation solutions.

Key Responsibilities:

• Develop, implement, and optimize machine learning models, deep learning algorithms, and AI-driven solutions.
  

• Design and maintain scalable AI architectures to support real-time decision-making and automation.
  

• Work with structured and unstructured data sources to extract insights and improve AI models.
  

• Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into production environments.
  

• Utilize NLP techniques for text processing, entity recognition, sentiment analysis, and chatbot development.
  

• Apply computer vision techniques for image recognition, object detection, and video analytics.
  

• Optimize and fine-tune AI models for accuracy, efficiency, and scalability.
  

• Stay updated with the latest AI trends, frameworks, and best practices to drive innovation.
  

• Develop and maintain documentation for AI models, data pipelines, and deployment workflows.
  

• Ensure compliance with ethical AI practices, data privacy regulations, and security standards.
  

Requirements

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  

• 5 to 8 years of hands-on experience in AI and machine learning development.
  

• Strong programming skills in Python (preferred), R, or Java.
  

• Proficiency in ML/DL frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, and Hugging Face.
  

• Experience with NLP, computer vision, reinforcement learning, or predictive analytics.
  

• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and AI model deployment using Docker, Kubernetes, or serverless architectures.
  

• Strong experience in handling large-scale datasets, feature engineering, and data preprocessing.
  

• Experience with MLOps, CI/CD pipelines for AI models, and version control using Git.
  

• Knowledge of big data technologies like Hadoop, Spark, or Kafka is a plus.
  

• Excellent problem-solving skills, analytical mindset, and ability to work in an agile development environment.
  

• Strong communication and collaboration skills to work with cross-functional teams.
  

Preferred Qualifications:

• Experience in AI model explainability, ethical AI, and responsible AI practices.
  

• Understanding of edge AI, federated learning, or hybrid AI architectures.
  

• Certification in AI/ML (e.g., TensorFlow Developer, AWS Certified Machine Learning) is a plus.
  

• Experience with LLMs (Large Language Models) like GPT, BERT, or T5 is advantageous.
  

​